BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality

 
 
00:00 / 01:18:53
 
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Mazviita and I discuss the growing divide between prediction and understanding as neuroscience models and deep learning networks become bigger and more complex. She describes her non-factive account of understanding, which among other things suggests that the best predictive models may deliver less understanding. We also discuss the brain as a computer metaphor, and whether it’s really possible to ignore all the traditionally “non-computational” parts of the brain like metabolism and other life processes.

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